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<p>This study empirically examines educational inequality’s direct, mediating, and nonlinear effects on carbon emissions using an unbalanced panel dataset composed of 282 prefecture-level cities in China from 2008 to 2021. The statistical results indicate that the education Gini coefficient exhibits a significant positive correlation with per capita carbon dioxide emissions, especially in high-carbon emissions regions. In addition, the widening of educational inequality is positively correlated with the suppression of green technological innovation, the obstruction of industrial structure upgrading, and the reduction of public environmental awareness, making it an important pathway for increasing carbon emissions. Ultimately, the impact of educational inequality varies depending on local socioeconomic factors, which include digital infrastructure development, government educational expenditure, energy structure transformation, and openness improvement, among others. As the levels of these factors rise, the positive relationship between educational inequality and carbon emissions will significantly weaken.</p>

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Better together? Deciphering the impact of educational inequality on carbon emissions

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年7月4日

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  • Hao Xu,
  • Mingwang Cheng,
  • Yixuan Han

摘要

This study empirically examines educational inequality’s direct, mediating, and nonlinear effects on carbon emissions using an unbalanced panel dataset composed of 282 prefecture-level cities in China from 2008 to 2021. The statistical results indicate that the education Gini coefficient exhibits a significant positive correlation with per capita carbon dioxide emissions, especially in high-carbon emissions regions. In addition, the widening of educational inequality is positively correlated with the suppression of green technological innovation, the obstruction of industrial structure upgrading, and the reduction of public environmental awareness, making it an important pathway for increasing carbon emissions. Ultimately, the impact of educational inequality varies depending on local socioeconomic factors, which include digital infrastructure development, government educational expenditure, energy structure transformation, and openness improvement, among others. As the levels of these factors rise, the positive relationship between educational inequality and carbon emissions will significantly weaken.